{"as_of":"2026-08-17T14:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:15494be45dd54b531a417250ee142c36d1315c44ee92a4585b2beaac41eb4ca8","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:24:06.311038Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T21:53:19.262106Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.00682","last_updated":"2023-07-02T23:27:00Z","snapshot_observed_at":"2026-08-16T15:19:19.552829Z","submitted_at":"2023-07-02T23:27:00Z","title":"Tools for Verifying Neural Models' Training Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00682","snapshot_observed_at":"2026-08-11T22:06:54.041192Z","title":"00682 [cs.LG]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.03824","last_updated":"2025-06-01T22:36:28Z","snapshot_observed_at":"2026-08-14T08:21:56.307711Z","submitted_at":"2024-12-05T02:37:51Z","title":"Towards Data Governance of Frontier AI Models","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-11T22:06:54.041192Z"},"links":{"cited_paper":"/paper/2307.00682","citing_paper":"/paper/2412.03824"},"observation_digest":"sha256:a32867e05ede9df8388456f1e31ead56bd5af61f15c4b20c485d3dff1627b6b0","observation_id":"984f3598-e26c-4fbd-90f1-d354aba3ef4f","resolution":{"observed_at":"2026-08-11T22:06:54.041192Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00682","last_updated":"2023-07-02T23:27:00Z","snapshot_observed_at":"2026-08-16T15:19:19.552829Z","submitted_at":"2023-07-02T23:27:00Z","title":"Tools for Verifying Neural Models' Training Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00682","snapshot_observed_at":"2026-08-16T12:24:06.311038Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12914","last_updated":"2025-04-17T13:03:56Z","snapshot_observed_at":"2026-08-16T12:17:34.841696Z","submitted_at":"2025-04-17T13:03:56Z","title":"In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T12:24:06.311038Z"},"links":{"cited_paper":"/paper/2307.00682","citing_paper":"/paper/2504.12914"},"observation_digest":"sha256:32d4ae2d476371fce32dfa0b3556bb51ccbd17f754d8a10916f9559d69468e34","observation_id":"aae91534-4a3b-4e7a-b84b-6961c95ba736","resolution":{"observed_at":"2026-08-16T12:24:06.311038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00682","last_updated":"2023-07-02T23:27:00Z","snapshot_observed_at":"2026-08-16T15:19:19.552829Z","submitted_at":"2023-07-02T23:27:00Z","title":"Tools for Verifying Neural Models' Training Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.00682","snapshot_observed_at":"2026-08-15T19:47:59.076424Z","title":"Tools for Verifying Neural Models’ Training Data,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15100","last_updated":"2025-06-18T03:10:49Z","snapshot_observed_at":"2026-08-16T01:53:26.752564Z","submitted_at":"2025-06-18T03:10:49Z","title":"International Security Applications of Flexible Hardware-Enabled Guarantees","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T19:47:59.076424Z"},"links":{"cited_paper":"/paper/2307.00682","citing_paper":"/paper/2506.15100"},"observation_digest":"sha256:e7b7b9d19ed47f1cc19baee86ddccd0592bf2b4870a70fddf67fadb44e2ed988","observation_id":"c6a604e5-5ad5-4a09-ad07-d4fc1e72e24b","resolution":{"observed_at":"2026-08-15T19:47:59.076424Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.00682","last_updated":"2023-07-02T23:27:00Z","snapshot_observed_at":"2026-08-16T15:19:19.552829Z","submitted_at":"2023-07-02T23:27:00Z","title":"Tools for Verifying Neural Models' Training Data","version":1},"cited_work":{"arxiv_id":"2307.00682","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.00682","snapshot_observed_at":"2026-08-06T21:53:19.262106Z","title":"Tools for Verifying Neural Models' Training Data","venue":"cs.LG","work_id":"1b0fa6bc-392f-49da-9661-aedc7139c166","year":2023},"citing_paper":{"arxiv_id":"2506.23123","last_updated":"2025-06-29T07:16:48Z","snapshot_observed_at":"2026-08-17T14:34:39.164526Z","submitted_at":"2025-06-29T07:16:48Z","title":"The Societal Impact of Foundation Models: Advancing Evidence-based AI Policy","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T21:53:16.851346Z"},"links":{"cited_paper":"/paper/2307.00682","citing_paper":"/paper/2506.23123"},"observation_digest":"sha256:643eb4e8d98969d81616d988d62669407624a38349fa4ffb76548297fb31df11","observation_id":"5c1d9e6e-5a8b-497c-8c7e-7ffbd846764b","resolution":{"observed_at":"2026-08-06T21:53:19.363544Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.00682/citation-record","integrity":"/paper/2307.00682/integrity","json":"/paper/2307.00682/citation-record.json","paper":"/paper/2307.00682"},"outbound":[],"paper":{"arxiv_id":"2307.00682","last_updated":"2023-07-02T23:27:00Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:19:19.552829Z","submitted_at":"2023-07-02T23:27:00Z","title":"Tools for Verifying Neural Models' Training Data"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2307.00682."}